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Denoising Multi-Similarity Formulation: A Self-paced Curriculum-Driven Approach for Robust Metric Learning
To efficiently solve this nonconvex quadratic problem, we propose a doubly stochastic projection coordinate gradient algorithm.
Balanced Self-Paced Learning for AUC Maximization
Self-paced learning is an effective method for handling noisy data.
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